Weicheng Zhu

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 14

Top Topics

Urban Environments

Multiple Instance

Image Categorization

Top Venues

J. Field Robotics

Publications

Weicheng Zhu, Sheng Liu, Carlos Fernandez-Granda, Narges Razavian
Making Self-supervised Learning Robust to Spurious Correlation via Learning-speed Aware Sampling. CoRR (2023)
Kangning Liu, Weicheng Zhu, Yiqiu Shen, Sheng Liu, Narges Razavian, Krzysztof J. Geras, Carlos Fernandez-Granda
Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning. CVPR (2023)
Haiming Wang, Liangliang Zhang, Qi Kong, Weicheng Zhu, Jie Zheng, Li Zhuang, Xin Xu
Motion planning in complex urban environments: An industrial application on autonomous last-mile delivery vehicles. J. Field Robotics 39 (8) (2022)
Weicheng Zhu, Carlos Fernandez-Granda, Narges Razavian
Interpretable Prediction of Lung Squamous Cell Carcinoma Recurrence With Self-supervised Learning. CoRR (2022)
Sheng Liu, Kangning Liu, Weicheng Zhu, Yiqiu Shen, Carlos Fernandez-Granda
Adaptive Early-Learning Correction for Segmentation from Noisy Annotations. CVPR (2022)
Kangning Liu, Weicheng Zhu, Yiqiu Shen, Sheng Liu, Narges Razavian, Krzysztof J. Geras, Carlos Fernandez-Granda
Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning. CoRR (2022)
Sheng Liu, Aakash Kaku, Weicheng Zhu, Matan Leibovich, Sreyas Mohan, Boyang Yu, Haoxiang Huang, Laure Zanna, Narges Razavian, Jonathan Niles-Weed, Carlos Fernandez-Granda
Deep Probability Estimation. ICML (2022)
Weicheng Zhu, Carlos Fernandez-Granda, Narges Razavian
Interpretable Prediction of Lung Squamous Cell Carcinoma Recurrence With Self-supervised Learning. MIDL (2022)
Sheng Liu, Aakash Kaku, Weicheng Zhu, Matan Leibovich, Sreyas Mohan, Boyang Yu, Laure Zanna, Narges Razavian, Carlos Fernandez-Granda
Deep Probability Estimation. CoRR (2021)
Weicheng Zhu, Narges Razavian
Variationally regularized graph-based representation learning for electronic health records. CHIL (2021)
Sheng Liu, Kangning Liu, Weicheng Zhu, Yiqiu Shen, Carlos Fernandez-Granda
Adaptive Early-Learning Correction for Segmentation from Noisy Annotations. CoRR (2021)
Weicheng Zhu, Narges Razavian
Graph Neural Network on Electronic Health Records for Predicting Alzheimer's Disease. CoRR (2019)
Haoyang Fan, Fan Zhu, Changchun Liu, Liangliang Zhang, Li Zhuang, Dong Li, Weicheng Zhu, Jiangtao Hu, Hongye Li, Qi Kong
Baidu Apollo EM Motion Planner. CoRR (2018)
Yusheng Xie, Nan Du, Wei Fan, Jing Zhai, Weicheng Zhu
Variational hybridization and transformation for large inaccurate noisy-or networks. CoRR (2016)